Machine Learning in Physics

About this programme

This course is designed to introduce undergraduate physics students to the fundamental concepts of machine learning, emphasizing both theoretical foundations and practical applications specific to physics. It covers a broad range of essential machine-learning techniques and models, and addresses the statistical challenges associated with optimizing these methods and evaluating the solutions they produce. Through this course, students will gain a deep understanding of how machine learning can be applied to solve real-world physics problems. Your message goes to Infocenter, and they’ll make sure it gets to the right person – so you get the best and most relevant reply.